submitted by /u/LordPewPew777
[link] [comments]
( 52
min )
https://www.youtube.com/watch?v=DUi7v0eIPz4&lc=Ugxuw-xuUSYvVnbfjrV4AaABAg&ab_channel=ScaleAI
submitted by /u/Spiritual-Ad4430
[link] [comments]
( 52
min )
submitted by /u/jpclp
[link] [comments]
( 53
min )
submitted by /u/Number_5_alive
[link] [comments]
( 53
min )
submitted by /u/omnisvosscio
[link] [comments]
( 52
min )
submitted by /u/nalr00n
[link] [comments]
( 52
min )
submitted by /u/qptbook
[link] [comments]
( 54
min )
submitted by /u/liquidocelotYT
[link] [comments]
( 61
min )
submitted by /u/OnlyProggingForFun
[link] [comments]
( 52
min )
submitted by /u/turnsouttellyouwhat
[link] [comments]
( 53
min )
submitted by /u/Branbruce
[link] [comments]
( 53
min )
submitted by /u/ML-EDM
[link] [comments]
( 57
min )
submitted by /u/Quackerooney
[link] [comments]
( 58
min )
submitted by /u/BackgroundResult
[link] [comments]
( 63
min )
submitted by /u/much_successes
[link] [comments]
( 57
min )
submitted by /u/vadhavaniyafaijan
[link] [comments]
( 52
min )
At AWS we released Fortuna, a library for Uncertainty Quantification. Fortuna supports conformal prediction, Bayesian inference methods and more.
Try it out! GitHub stars are very welcome!!! ⭐⭐⭐
Github repo: https://github.com/awslabs/fortuna
submitted by /u/gianluca_detommaso
[link] [comments]
( 63
min )
Hi,
As part of Huggingface whisper finetuning event I created a demo where you can:
Download youtube video with a given URL
2. Watch downloaded video in the first video component
3. Run automatic speech recognition on the video using Whisper models from ggerganov https://github.com/ggerganov/whisper.cpp
4. Translate the recognized transcriptions to 26 languages supported by deepL
Download generated subtitle files in .srt and .vtt formats
6. Watch the video in another video component with added subtitles
You can test it from here
--> https://huggingface.co/spaces/RASMUS/Whisper-youtube-crosslingual-subtitles <--
submitted by /u/Finslayer
[link] [comments]
( 66
min )
Editor’s note: This is part of a series profiling people advancing science with high performance computing. Ryan Coffee makes movies of molecules. Their impacts are huge. The senior scientist at the SLAC National Accelerator Laboratory (above) says these visualizations could unlock the secrets of photosynthesis. They’ve already shown how sunlight can cause skin cancer. Long Read article >
( 6
min )
When NVIDIA co-founder Chris Malachowsky approached University of Florida Provost Joe Glover with the offer of an AI supercomputer, he couldn’t have predicted the transformative impact it would have on the university. In just a short time, UF has become one of the top public colleges in the U.S. and developed a groundbreaking neural network Read article >
( 5
min )
A new method can produce a hundredfold increase in light emissions from a type of electron-photon coupling, which is key to electron microscopes and other technologies.
( 9
min )
2023 UPDATE! Just published a book with 1337 use cases and around 4000 examples.
( 157
min )
Choose your Programming Language
( 12
min )
Robots celebrate holidays?
( 6
min )
MAgent2 is the maintained fork of the environments in https://github.com/geek-ai/MAgent, which previously were housed in PettingZoo itself but as of a few months ago was broken off into it's own project. You can check it out here: https://magent2.farama.org/ / https://github.com/Farama-Foundation/magent2
submitted by /u/jkterry1
[link] [comments]
( 61
min )
RIFFUSION is an app for real-time music generation with stable diffusion. Riffusion is a latent text-to-image diffusion model capable of generating spectrogram images given any text input. These spectrograms can be converted into audio clips.The model was created by Seth Forsgren and Hayk Martiros as a hobby project. It employs some clever tricks by fine tuning stable diffusion on spectogram images and interploation in latent space for creating smooth transitions in generated audio clips
I have created a video explaining the concepts behind RIFFUSION. Do checkout the video: https://youtu.be/hGrtZ9rXwWk
submitted by /u/Sea-Photo5230
[link] [comments]
( 59
min )
CLARIFICATION: NOT DAN SUI BUT I AM PROMOTING MY ARTICLE
I decided to purchase and take a gander at this new frontier of AI Art monetization.
Check it out here and let me know your thoughts! Article
Dan Sui or u/KoSuiFish famous for beautiful life-like Waifu's released a gumroad course
With works such as
- NSFW (very nsfw)
- SFW
submitted by /u/CalligrapherOk7617
[link] [comments]
( 53
min )
submitted by /u/LordPewPew777
[link] [comments]
( 53
min )
submitted by /u/KozmauXinemo
[link] [comments]
( 53
min )
submitted by /u/becausecurious
[link] [comments]
( 53
min )
submitted by /u/BackgroundResult
[link] [comments]
( 53
min )
submitted by /u/Zirius_Sadfaces
[link] [comments]
( 52
min )
submitted by /u/PaulTopping
[link] [comments]
( 66
min )
submitted by /u/liquidocelotYT
[link] [comments]
( 53
min )
submitted by /u/theindianappguy
[link] [comments]
( 53
min )
submitted by /u/oridnary_artist
[link] [comments]
( 53
min )
submitted by /u/skj8
[link] [comments]
( 55
min )
Social media is one of the most widely accessible online platforms people use to share their personal views and opinions and express their feelings with a few show-offs of their social life with their friends. Now it is also used for business promotions and commercial activities, to engage with users and target more customers. On… Read More »How does social media content moderation work in the United States?
The post How does social media content moderation work in the United States? appeared first on Data Science Central.
( 22
min )
Powerful new GeForce RTX GPUs, a new generation of hyper-efficient laptops and new Omniverse capabilities and partnerships across the automotive industry were highlights of a news-packed address ahead of this week’s CES trade show in Las Vegas. “AI will define the future of computing and this has influenced much of what we’re covering today,” said Read article >
( 7
min )
The latest release of NVIDIA Omniverse Enterprise, available now, brings increased performance, generational leaps in real-time RTX ray and path tracing, and streamlined workflows to help teams build connected 3D pipelines, and develop and operate large-scale, physically accurate, virtual 3D worlds like never before. Artists, designers, engineers and developers can benefit from various enhancements across Read article >
( 7
min )
AI is extending further into the vehicle as autonomous-driving technology becomes more prevalent. With the NVIDIA DRIVE platform, automakers can design and implement intelligent interior features to continuously surprise and delight customers. It all begins with the compute architecture. The recently introduced NVIDIA DRIVE Thor platform unifies traditionally distributed functions in vehicles — including digital Read article >
( 5
min )
Building state-of-the-art factories requires a state-of-the art planning system. Mercedes-Benz announced at CES that it is taking the next step in digitizing its production process, using the NVIDIA Omniverse platform to design and plan manufacturing and assembly facilities. By tapping into NVIDIA AI and metaverse technologies, the automaker can create feedback loops to reduce waste, Read article >
( 5
min )
Autonomous and electric vehicles are making personal transportation safer and more sustainable — as well as more entertaining. At CES today, NVIDIA announced that the NVIDIA GeForce NOW cloud gaming service will be coming to cars, with no special equipment needed. Hyundai Motor Group, BYD and Polestar — already members of the NVIDIA DRIVE ecosystem Read article >
( 5
min )
The future of content creation was on full display today during NVIDIA’s virtual special address at CES. Fueled by powerful NVIDIA RTX technology and backed by the NVIDIA Studio platform for creators, a creative revolution is underway as a wave of 2D artists moves to 3D, video workflows move to real time and AI tools help artists create content faster.
( 10
min )
Demand for intelligent robots is growing as more industries embrace automation to address supply chain challenges and labor force shortages. The installed base of industrial and commercial robots will grow more than 6.4x — from 3.1 million in 2020 to 20 million in 2030, according to ABI Research. Developing, validating and deploying these new AI-based Read article >
( 6
min )
Whether creating realistic digital humans that can express raw emotion or building immersive virtual worlds, those in the design, engineering, creative and other industries across the globe are reaching new heights through 3D workflows. Animators, creators and developers can use new AI-powered tools to reimagine 3D environments, simulations and the metaverse — the 3D evolution Read article >
( 7
min )
submitted by /u/Lakshmireddys
[link] [comments]
( 47
min )
Hello, community!
I invite you to take a look at the live coding tutorial video on Diffusion Models
Link to the video
Content covered:
- Theoretical background
- Implementation of forward diffusion process
- Implementation of the training loop
- Overfitting to one batch
- Implementation of the reverse diffusion process
- Training on CIFAR10 dataset (with class label conditioning)
submitted by /u/dtransposed
[link] [comments]
( 60
min )
If you’re reading this, chances are you’re curious about what Chat GPT (Generative Pre-trained Transformer) is and how it works. Maybe…
( 7
min )
The insurance sector is adopting new technologies at a rapid pace, with many companies implementing new technologies to improve their…
( 10
min )
We are a leading chatbot & enterprise software development services provider in India. We provide end to end RPA services along with AI…
( 11
min )
submitted by /u/Impressive_Use_5212
[link] [comments]
( 55
min )
submitted by /u/LordPewPew777
[link] [comments]
( 56
min )
submitted by /u/geo_what
[link] [comments]
( 56
min )
submitted by /u/Miserness
[link] [comments]
( 55
min )
submitted by /u/bendee983
[link] [comments]
( 59
min )
submitted by /u/oridnary_artist
[link] [comments]
( 55
min )
Hi,
I would like to make my own footage on some topics, but to make it more interesting to viewers, I would love to add additional video content like royalty free or some clips from YouTube.
Is there any tool that can do that for me?
So far I've found only Pictory.ai that has some of those features.
Thanks in advance
submitted by /u/krajacic
[link] [comments]
( 56
min )
submitted by /u/ML-EDM
[link] [comments]
( 56
min )
submitted by /u/Subash_C_Mahato
[link] [comments]
( 55
min )
submitted by /u/Microsis
[link] [comments]
( 61
min )
Those looking to join the ranks of AI trailblazers or chart a new course in their careers need look no further. At NVIDIA’s latest GTC conference, industry leaders in a panel called “5 Paths to a Career in AI” shared tips and insights on how to make a mark in this rapidly evolving field. Representing Read article >
( 5
min )
submitted by /u/LordPewPew777
[link] [comments]
( 57
min )
submitted by /u/jorgemanrubia
[link] [comments]
( 56
min )
submitted by /u/Kuz-Co
[link] [comments]
( 75
min )
submitted by /u/AC-Daniel
[link] [comments]
( 56
min )
submitted by /u/OnlineHustless
[link] [comments]
( 94
min )
submitted by /u/liquidocelotYT
[link] [comments]
( 55
min )
submitted by /u/Branbruce
[link] [comments]
( 57
min )
submitted by /u/oridnary_artist
[link] [comments]
( 58
min )
submitted by /u/prfitofthesngularity
[link] [comments]
( 60
min )
submitted by /u/codename_failure
[link] [comments]
( 63
min )
submitted by /u/Yajirobe404
[link] [comments]
( 62
min )
submitted by /u/ai-lover
[link] [comments]
( 52
min )
submitted by /u/Peaking_AI
[link] [comments]
( 53
min )
submitted by /u/OnlyProggingForFun
[link] [comments]
( 54
min )
submitted by /u/Branbruce
[link] [comments]
( 54
min )
submitted by /u/lambolifeofficial
[link] [comments]
( 52
min )
submitted by /u/BallbustCuck
[link] [comments]
( 54
min )
Title says it all. Im experimenting with a bi-weekly news segment that's intended for keeping people up to date on events in AI from a high level.
I just published Episode 2 today and would like feedback on areas for improvement.
https://youtu.be/kQk7f6gsPDE
Thanks in advance!
submitted by /u/Kitten-Smuggler
[link] [comments]
( 56
min )
submitted by /u/radi-cho
[link] [comments]
( 64
min )
submitted by /u/Emotional_Aardvark26
[link] [comments]
( 59
min )
submitted by /u/lambolifeofficial
[link] [comments]
( 65
min )
submitted by /u/designer1one
[link] [comments]
( 63
min )
Irrational numbers such as π may have been the first ones used to create perfect randomness and strong cryptographic systems. They were also among the first ones to be dismissed, long ago. Since then, they were never revisited and are completely abandoned. Binary digits of numbers such as π are remarkable at mimicking randomness. Indeed… Read More »New Military-grade Random Bit Sequences Based on Irrational Numbers and Fast Computations
The post New Military-grade Random Bit Sequences Based on Irrational Numbers and Fast Computations appeared first on Data Science Central.
( 20
min )
submitted by /u/keghn
[link] [comments]
( 51
min )
I'm trying to understand how I can use COMET to evaluate translation models https://github.com/Unbabel/COMET ?
I don't really understand how it was trained the meaning of the outputed values ? https://unbabel.github.io/COMET/html/faqs.html#which-comet-model-should-i-use
Thanks for your help
submitted by /u/AImSamy
[link] [comments]
( 71
min )
submitted by /u/xWh0am1
[link] [comments]
( 52
min )
submitted by /u/sirkn8
[link] [comments]
( 57
min )
submitted by /u/PuppetHere
[link] [comments]
( 56
min )
submitted by /u/Kipyegonn
[link] [comments]
( 52
min )
submitted by /u/Microsis
[link] [comments]
( 59
min )
submitted by /u/mind_bomber
[link] [comments]
( 57
min )
The way we hire has changed dramatically over the last 10 years. Technology has been a major driver of these changes, especially through…
( 9
min )
thinking the unthinkable., Machine Learning
( 10
min )
Hey Guy's, so I tried to make a NeuralNetwork for the dataset of Quickdraw, but I always get the error: TypeError: can't convert np.ndarray of type numpy.object_. The only supported types are: float64, float32, float16, complex64, complex128, int64, int32, int16, int8, uint8, and bool.
How can i fix this, more detail on StackOverflow: https://stackoverflow.com/questions/74962055/typeerror-cant-convert-np-ndarray-of-type-numpy-object
submitted by /u/ExperiencePopular706
[link] [comments]
( 51
min )
Stephen Tong, aka Funky Boy, has always loved music and photography. He’s now transferring the skills developed over the years as a music producer — shooting time lapses, creating audio tracks and more — to a new passion of his: 3D content creation.
( 5
min )
submitted by /u/python111
[link] [comments]
( 55
min )
submitted by /u/liquidocelotYT
[link] [comments]
( 56
min )
submitted by /u/Peaking_AI
[link] [comments]
( 56
min )
submitted by /u/Available_Tadpole829
[link] [comments]
( 51
min )
submitted by /u/walt74
[link] [comments]
( 59
min )
submitted by /u/Microsis
[link] [comments]
( 52
min )
submitted by /u/yikeshardware
[link] [comments]
( 66
min )
submitted by /u/fasttosmile
[link] [comments]
( 59
min )
Last year, we announced the general availability of RStudio on Amazon SageMaker, the industry’s first fully managed RStudio Workbench integrated development environment (IDE) in the cloud. You can quickly launch the familiar RStudio IDE and dial up and down the underlying compute resources without interrupting your work, making it easy to build machine learning (ML) […]
( 9
min )
The last decade of the Industry 4.0 revolution has shown the value and importance of machine learning (ML) across verticals and environments, with more impact on manufacturing than possibly any other application. Organizations implementing a more automated, reliable, and cost-effective Operational Technology (OT) strategy have led the way, recognizing the benefits of ML in predicting […]
( 12
min )
NVIDIA executives will share some of the company’s latest innovations Tuesday, Jan. 3, at 8 a.m. Pacific time ahead of this year’s CES trade show in Las Vegas. Jeff Fisher, senior vice president for gaming products, will be joined by Deepu Talla, vice president of embedded and edge computing, Stephanie Johnson, vice president of consumer Read article >
( 4
min )
One of tech’s top talk shows, the NVIDIA AI Podcast has attracted more than 3.6 million listens to date from folks who want to hear the latest in machine learning. Its 180+ installments so far have included interviews with luminaries like Kai-Fu Lee and explored how AI is advancing everything from monitoring endangered rhinos to Read article >
( 4
min )
submitted by /u/LordPewPew777
[link] [comments]
( 51
min )
submitted by /u/urocyon_dev
[link] [comments]
( 52
min )
submitted by /u/liquidocelotYT
[link] [comments]
( 52
min )
submitted by /u/Boring_Ant_1677
[link] [comments]
( 50
min )
submitted by /u/BackgroundResult
[link] [comments]
( 51
min )
submitted by /u/_AVINIER
[link] [comments]
( 50
min )
submitted by /u/oridnary_artist
[link] [comments]
( 48
min )
submitted by /u/vadhavaniyafaijan
[link] [comments]
( 59
min )
Recently I got interested in GAN and learned how to convert face images into Disney/Pixar style (high level idea is at https://www.justinpinkney.com/making-toonify/).
Inspired by the success of levelsio in multiple AI projects, I built my own avatar-generating service: https://toonlens.com/ .
Would appreciate any feedback you have.
Thank you!
Kenny
submitted by /u/khitcher
[link] [comments]
( 54
min )
In recent years, we have seen a significant shift in the way businesses operate and interact with their customers. With the rise of…
( 9
min )
submitted by /u/urocyon_dev
[link] [comments]
( 48
min )
Hey everyone!
Joe and I are students at Stanford, and we finally got a breakthrough on our side project.
We call it:
ChatBCG: Generative AI for Slides ✨
or: Text-to-PowerPoint
(Hope it will replace consultants one day :D)
Check out our launch Tweet for more info:
https://twitter.com/SilasAlberti/status/1608037989623414791
Do you have any feedback? We would really appreciate it :)
submitted by /u/Mastersulm
[link] [comments]
( 70
min )
Hi guys!
Just sharing that I just published a new learning environment for reinforcement learning agents to learn policies from pixels. The Wave Defense Learning Environment is useful for debugging new implementations and algorithms the image-based settings (a decent algorithm should solve the environment).
Also, see the baselines repository for the Wave Defense environment to see some RL training results.
Feel free to ⭐star⭐ the repository if you like it or use it, and let me know what you think!
Thank you! 😁
submitted by /u/xWh0am1
[link] [comments]
( 54
min )
Six companies with innovative products built using the NVIDIA Jetson edge AI platform will leave CES, one of the world’s largest consumer technology trade shows, as big winners next week. The CES Innovation Awards each year honor outstanding design and engineering in more than two dozen categories of consumer technology products. The companies to be Read article >
( 5
min )
submitted by /u/SurpriseTherapy
[link] [comments]
( 51
min )
submitted by /u/Mk_Makanaki
[link] [comments]
( 54
min )
submitted by /u/LordPewPew777
[link] [comments]
( 58
min )
submitted by /u/PuppetHere
[link] [comments]
( 73
min )
submitted by /u/anybutton2start
[link] [comments]
( 51
min )
submitted by /u/Austin_Nguyen_2k
[link] [comments]
( 56
min )
Simulating revolutions - ChatGPT and symbolic simulations, an article.
submitted by /u/goronmask
[link] [comments]
( 54
min )
submitted by /u/bendee983
[link] [comments]
( 57
min )
submitted by /u/ampankajsharma
[link] [comments]
( 51
min )
submitted by /u/xavi160
[link] [comments]
( 50
min )
submitted by /u/oridnary_artist
[link] [comments]
( 48
min )
I was building a YOLOv5 object detection model, and was looking into researching synthetic methods like GANs to increase the size of my training set in an unsupervised manner.
Ik few-shot GANs can be used to "hallucinate" images and labels for a classification task, but how can they be extended to hallucinate images and labels in YOLO format (basically lists out each bounding box and class)?
Is there some way that I can train a GAN on images / YOLO labels, and get it to hallucinate more images / labels?
submitted by /u/WeAreNebula
[link] [comments]
( 70
min )
Artist Zhelong Xu, aka Uncle Light, brought to life Blood Moon — a 3D masterpiece combining imagination, craftsmanship and art styles from the Chinese Bronze Age — along with Kirin, a symbol of hope and good fortune, using NVIDIA technologies.
( 7
min )
These explainers will give you the scoop on the latest tech developments from AI models to green computing.
( 4
min )
This is part 1 of a three-part series on the Economics of Ethics. Here’s the problem with the data and AI ethics conversation – if we can’t measure it, then we can’t monitor it, judge it, or change it. We must find a way to transparently instrument and measure ethics. And that’ll become even more… Read More »Economics of Ethics: Is Ethics Ultimately an Economics Conversation? Part I
The post Economics of Ethics: Is Ethics Ultimately an Economics Conversation? Part I appeared first on Data Science Central.
( 22
min )
submitted by /u/oridnary_artist
[link] [comments]
( 48
min )
Can you help me sign this petition? https://chng.it/Z6Nf64Q7vc
Thanks a lot.
submitted by /u/sergiCrack9
[link] [comments]
( 49
min )
submitted by /u/Microsis
[link] [comments]
( 48
min )
submitted by /u/mGoldie_
[link] [comments]
( 50
min )
submitted by /u/Microsis
[link] [comments]
( 50
min )
submitted by /u/BackgroundResult
[link] [comments]
( 51
min )
submitted by /u/oridnary_artist
[link] [comments]
( 53
min )
submitted by /u/Available_Tadpole829
[link] [comments]
( 48
min )
submitted by /u/liquidocelotYT
[link] [comments]
( 50
min )
submitted by /u/lambolifeofficial
[link] [comments]
( 53
min )
submitted by /u/oridnary_artist
[link] [comments]
( 55
min )
submitted by /u/oridnary_artist
[link] [comments]
( 62
min )
Tools for getting the job done in machine learning
( 8
min )
Introduction
( 11
min )
submitted by /u/DataHack23
[link] [comments]
( 49
min )
submitted by /u/Ok_Read_2524
[link] [comments]
( 51
min )
submitted by /u/SupPandaHugger
[link] [comments]
( 53
min )
submitted by /u/Number_5_alive
[link] [comments]
( 55
min )
- Images:
NightCafe Creator Limited to 10 images / day.
Midjourney (Discord server) Limited
- Questions: AISEO
- Music: SOUNDRAW
Do you know of any other tools?
submitted by /u/Diogeneselcinico42
[link] [comments]
( 50
min )
submitted by /u/liquidocelotYT
[link] [comments]
( 53
min )
submitted by /u/LordPewPew777
[link] [comments]
( 50
min )
AI Weirdness: the strange side of machine learning
( 2
min )
submitted by /u/Emotional_Aardvark26
[link] [comments]
( 67
min )
submitted by /u/Emotional_Aardvark26
[link] [comments]
( 69
min )
submitted by /u/perception-eng
[link] [comments]
( 66
min )
submitted by /u/CookingGod
[link] [comments]
( 49
min )
submitted by /u/akolonin
[link] [comments]
( 47
min )
submitted by /u/Surrounded_By_Sheep
[link] [comments]
( 50
min )
submitted by /u/liquidocelotYT
[link] [comments]
( 47
min )
submitted by /u/ivan697
[link] [comments]
( 47
min )
submitted by /u/BackgroundResult
[link] [comments]
( 48
min )
submitted by /u/Notalabel_4566
[link] [comments]
( 48
min )
submitted by /u/lambolifeofficial
[link] [comments]
( 47
min )
submitted by /u/Number_5_alive
[link] [comments]
( 49
min )
submitted by /u/ArdArt
[link] [comments]
( 49
min )
submitted by /u/LordPewPew777
[link] [comments]
( 48
min )
submitted by /u/PuppetHere
[link] [comments]
( 49
min )
submitted by /u/BackgroundResult
[link] [comments]
( 48
min )
Well here's the story
https://docs.google.com/document/d/1u5Am2j5koDBzss8kf5iJySG2dJ0Z1rhwa2hdTqSVeQ8/edit?usp=drivesdk
Just remember this story was created by ten different AI each sentence created by a different one. I did give the first AI that created the first sentence a little bit of backstory about both characters. This was an experiment to see if different AI could work together to create something.
submitted by /u/Competitive_Case1076
[link] [comments]
( 51
min )
submitted by /u/GFWaltz
[link] [comments]
( 48
min )
submitted by /u/BackgroundResult
[link] [comments]
( 55
min )
submitted by /u/liquidocelotYT
[link] [comments]
( 47
min )
submitted by /u/deron666
[link] [comments]
( 50
min )
submitted by /u/LordPewPew777
[link] [comments]
( 49
min )
submitted by /u/BackgroundResult
[link] [comments]
( 55
min )
submitted by /u/qptbook
[link] [comments]
( 47
min )
submitted by /u/unununium333
[link] [comments]
( 49
min )
submitted by /u/Prior_Appearance_44
[link] [comments]
( 46
min )
submitted by /u/BackgroundResult
[link] [comments]
( 58
min )
Github Link: https://github.com/kpthedev/stable-karlo
I made stable-karlo, an app that combines Kakaobrain's Karlo image generation model with Stable-Diffusion 2.1 in a nice webUI.
Recently, Kakaobrain released Karlo, their own image generating diffusion model which uses OpenAI's unCLIP architecture. The model is great at understanding text and relationships, but it only outputs 256x256 pixel images. I had the idea to combine Karlo with the new Stable-Diffusion v2 upscaler to get large images and the results are very promising.
Please check out the Github and share your thoughts!
submitted by /u/kpthedev
[link] [comments]
( 73
min )
submitted by /u/mrx-ai
[link] [comments]
( 59
min )
Customer service interactions often contain personally identifiable information (PII) such as names, phone numbers, and dates of birth. As organizations incorporate machine learning (ML) and analytics into their applications, using this data can provide insights on how to create more seamless customer experiences. However, the presence of PII information often restricts the use of this […]
( 7
min )
submitted by /u/Prior_Appearance_44
[link] [comments]
( 45
min )
submitted by /u/Microsis
[link] [comments]
( 49
min )
submitted by /u/BLECQ1
[link] [comments]
( 49
min )
submitted by /u/flambok
[link] [comments]
( 47
min )
submitted by /u/SimonThalmann
[link] [comments]
( 47
min )
submitted by /u/liquidocelotYT
[link] [comments]
( 46
min )
submitted by /u/ML-EDM
[link] [comments]
( 54
min )
submitted by /u/LordPewPew777
[link] [comments]
( 48
min )
submitted by /u/supremogh
[link] [comments]
( 65
min )
Intro & source code: https://github.com/houkensjtu/taichi-hackathon-akinasan
The circuit of an ordinary RC toy car is modified so that Jetson Nano can control the movement of the car through GPIO port. Of course, we need to use motor drive controller here, because the upper limit of the output current of Jetson Nano is not enough to drive the car motor directly.
The convolution neural network (CNN) is implemented using Taichi programming language.
The road data was collected, then classified and labeled, and finally used in the training of CNN models.
The pre-trained model is imported into Jetson Nano and the action prediction made for the images captured during driving.
Demo:
https://reddit.com/link/zshrlv/video/pcm3f6id3f7a1/player
submitted by /u/TaichiOfficial
[link] [comments]
( 67
min )
Built on recent advances in machine learning, the model predicts how well individuals will produce and comprehend sentences.
( 10
min )
Launched at AWS re:Invent 2021, Amazon SageMaker Ground Truth Plus helps you create high-quality training datasets by removing the undifferentiated heavy lifting associated with building data labeling applications and managing the labeling workforce. All you do is share data along with labeling requirements, and Ground Truth Plus sets up and manages your data labeling workflow […]
( 9
min )
This holiday season, feast on the bounty of food-themed stories NVIDIA Blog readers gobbled up in 2022. Startups in the retail industry — and particularly in quick-service restaurants — are using NVIDIA AI and robotics technology to make it easier to order food in drive-thrus, find beverages on store shelves and have meals delivered. They’re Read article >
( 5
min )
In a moment of pure serendipity, Lah Yileh Lee and Xinting Lee, a pair of talented singers who often stream their performances online, found themselves performing in a public square in Taipei when NVIDIA founder and CEO Jensen Huang happened upon them. Huang couldn’t resist joining in, cheering on their serenade as they recorded Lady Read article >
( 5
min )
Gear up for some festive fun this GFN Thursday with some of the GeForce NOW community’s top picks of games to play during the holidays, as well as a new title joining the GeForce NOW library this week. And, following the recent update that enabled Ubisoft Connect account syncing with GeForce NOW, select Ubisoft+ Multi-Access Read article >
( 6
min )
Game characters BUT in anime neural network...
I created pictures of game characters in a social network that makes anime out of any pictures, look, and if it's not difficult to rate here, well, or on YouTube
https://youtu.be/ZDdzG333x9Q
submitted by /u/Crazy-Assistant5399
[link] [comments]
( 52
min )
submitted by /u/Valuable-Panic-7793
[link] [comments]
( 49
min )
Legendary footballers BUT in anime...
I created pictures of legendary footballers in a social network that makes anime out of any pictures, look, and if it's not difficult to rate here, well, or on YouTube
https://youtu.be/kqGBQ_0BXc0
submitted by /u/Crazy-Assistant5399
[link] [comments]
( 48
min )
submitted by /u/gakowalski
[link] [comments]
( 48
min )
submitted by /u/LordPewPew777
[link] [comments]
( 48
min )
submitted by /u/magenta_placenta
[link] [comments]
( 55
min )
submitted by /u/fillsoko
[link] [comments]
( 49
min )
submitted by /u/deen1802
[link] [comments]
( 49
min )
submitted by /u/qptbook
[link] [comments]
( 53
min )
submitted by /u/budgie
[link] [comments]
( 85
min )
submitted by /u/UpvoteBeast
[link] [comments]
( 46
min )
submitted by /u/atomlib_com
[link] [comments]
( 48
min )
submitted by /u/skj8
[link] [comments]
( 50
min )
submitted by /u/ML-EDM
[link] [comments]
( 51
min )
submitted by /u/ML-EDM
[link] [comments]
( 50
min )
submitted by /u/Miserness
[link] [comments]
( 48
min )
submitted by /u/sEi_
[link] [comments]
( 49
min )
submitted by /u/arnolds112
[link] [comments]
( 48
min )
Whisperer
A tool to make audio-text datasets automatically for your ML Projects. Two weeks ago, I shared an early draft of a project based on the newly released OpenAI's Whisper. Today I'm sharing the finished version of Whisperer, which adds diarization, with same-speaker detection across multiple audio files.
Key Features:
Automatic Speaker Diarization
Automatic Speaker Identification
e.g: same speakers across audio files
Automatic Transcription
Forces Gaussian Distributions of the dataset see notebook
Modular and Configurable
EDIT:
Live on twitch if anyone has any questions.
submitted by /u/pigmentedink
[link] [comments]
( 68
min )
BLIP from Salesforce is now available on Hugging Face transformers!
Here is a list of cool applications you can build on top of it: https://twitter.com/younesbelkada/status/1605489647395540992
With (I think) most interesting application being building image-captioning APIs and Stable Diffusion-related applications (generate image-text datasets to fine-tune Stable Diffusion on it & image to music app)
Any other thing you have in mind that can be built using BLIP?
submitted by /u/younesbelkada
[link] [comments]
( 69
min )
Posted by Jinsung Yoon and Sercan O. Arik, Research Scientists, Google Research, Cloud AI Team
Analysis of Electronic Health Records (EHR) has a tremendous potential for enhancing patient care, quantitatively measuring performance of clinical practices, and facilitating clinical research. Statistical estimation and machine learning (ML) models trained on EHR data can be used to predict the probability of various diseases (such as diabetes), track patient wellness, and predict how patients respond to specific drugs. For such models, researchers and practitioners need access to EHR data. However, it can be challenging to leverage EHR data while ensuring data privacy and conforming to patient confidentiality regulations (such as HIPAA).
Conventional methods to anonymize data (e.g., de-id…
( 93
min )
submitted by /u/fillsoko
[link] [comments]
( 46
min )
Auto-encoders are an unsupervised learning technique using neural networks to learn representations.
( 11
min )
On the well-known iris dataset, we will perform the neural network operation here without writing a single line of Python code. Sounds…
( 11
min )
Introduction:
( 6
min )
Linear regression is one of the main algorithms that you must master as a data scientist, you will learn how to build your first model…
( 11
min )
Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). Amazon Kendra offers a suite of data source connectors to simplify the process of ingesting and indexing your content, wherever it resides. Valuable data in organizations is stored in both structured and unstructured repositories. An enterprise search solution should […]
( 7
min )
Today, companies are establishing feature stores to provide a central repository to scale ML development across business units and data science teams. As feature data grows in size and complexity, data scientists need to be able to efficiently query these feature stores to extract datasets for experimentation, model training, and batch scoring. Amazon SageMaker Feature […]
( 10
min )
Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). Amazon Kendra offers a suite of data source connectors to simplify the process of ingesting and indexing your content, wherever it resides. Valuable data in organizations is stored in both structured and unstructured repositories. An enterprise search solution should […]
( 7
min )
All of us recycle. Or, at least, all of us should. Now, AI is joining the effort. On the latest episode of the NVIDIA AI Podcast, host Noah Kravitz spoke with JD Ambadti, founder and CEO of EverestLabs, developer of RecycleOS, the first AI-enabled operating system for recycling. The company reports that an average of Read article >
The post Doing the Best They Can: EverestLabs Ensures Fewer Recyclables Go to Landfills appeared first on NVIDIA Blog.
( 4
min )
Announcements Highlighting Our Contributors This week is DSC’s final issue of DSC Weekly in 2022. With the conclusion of the year, we’re highlighting two of our top contributors’ and their articles from the last year. These articles are chosen for their high-quality, informative nature and attention to detail. Alan Morrison posts articles with critical thought… Read More »DSC Weekly 20 December 2022 – Highlighting Our Contributors Part 2
The post DSC Weekly 20 December 2022 – Highlighting Our Contributors Part 2 appeared first on Data Science Central.
( 20
min )
There are many articles that point to the risks of AI. Indeed, these risks are real, but also many of these articles are based on scaremongering and sensationalism. If we take a medium to long-term view, we definitely need to think differently about the risks of AI. Here is why: a) We do not take… Read More »Why we need to think differently about AI risks in the medium to long term
The post Why we need to think differently about AI risks in the medium to long term appeared first on Data Science Central.
( 19
min )
submitted by /u/Alphasoar_AI
[link] [comments]
( 61
min )
Hi everyone, my lab has recently made Foresight - in short, it is a GPT-3 like language model that can simulate a patient's future (forecast disorders, medications, procedures, symptoms, ...). It was trained and tested on two large hospitals in UK covering both physical and mental health. Any feedback is much appreciated (Twitter or here).
Paper: arxiv
Demo: foresight
submitted by /u/w_is_h
[link] [comments]
( 68
min )
Abstract: The adoption of pre-trained language models in task-oriented dialogue systems has resulted in significant enhancements of their text generation abilities. However, these architectures are slow to use because of the large number of trainable parameters and can sometimes fail to generate diverse responses. To address these limitations, we propose two models with auxiliary tasks for response selection - (1) distinguishing distractors from ground truth responses and (2) distinguishing synthetic responses from ground truth labels. They achieve state-of-the-art results on the MultiWOZ 2.1 dataset with combined scores of 107.5 and 108.3 and outperform a baseline with three times more parameters. We publish reproducible code and checkpoints and discuss the effects of applying auxiliary tasks to T5-based architectures.
Project available on GitHub: https://github.com/radi-cho/RSTOD
Our paper was presented at https://www.icnlsp.org/. Publication in process.
submitted by /u/radi-cho
[link] [comments]
( 64
min )
submitted by /u/Peaking_AI
[link] [comments]
( 48
min )
submitted by /u/SupPandaHugger
[link] [comments]
( 48
min )
submitted by /u/Sebrosen1
[link] [comments]
( 53
min )
submitted by /u/prsadr
[link] [comments]
( 47
min )
submitted by /u/cneaky
[link] [comments]
( 48
min )
submitted by /u/LordPewPew777
[link] [comments]
( 47
min )
submitted by /u/BackgroundResult
[link] [comments]
( 50
min )
submitted by /u/PeteyCruiser123
[link] [comments]
( 46
min )
submitted by /u/modzykirsten
[link] [comments]
( 60
min )
submitted by /u/taranasus
[link] [comments]
( 55
min )
submitted by /u/No_Vacation3747
[link] [comments]
( 48
min )
submitted by /u/No_Vacation3747
[link] [comments]
( 48
min )
https://thriveml.com
most job boards i've seen include technical roles (e.g., ML engineer, data scientist), so I wanted to make one that includes non-technical positions in sales, customer support, etc. i think we'll see a lot of startups (and jobs) in this space in the coming year.
lmk what you think! happy to add more companies.
submitted by /u/thriveml
[link] [comments]
( 49
min )
submitted by /u/DataHack23
[link] [comments]
( 54
min )
This three-part series demonstrates how to use graph neural networks (GNNs) and Amazon Neptune to generate movie recommendations using the IMDb and Box Office Mojo Movies/TV/OTT licensable data package, which provides a wide range of entertainment metadata, including over 1 billion user ratings; credits for more than 11 million cast and crew members; 9 million […]
( 8
min )
The IMDb and Box Office Mojo Movies/TV/OTT licensable data package provides a wide range of entertainment metadata, including over 1 billion user ratings; credits for more than 11 million cast and crew members; 9 million movie, TV, and entertainment titles; and global box office reporting data from more than 60 countries. Many AWS media and […]
( 9
min )
The last few years have seen a tremendous paradigm shift in how institutional asset managers source and integrate multiple data sources into their investment process. With frequent shifts in risk correlations, unexpected sources of volatility, and increasing competition from passive strategies, asset managers are employing a broader set of third-party data sources to gain a […]
( 11
min )
3D artist Edward McEvenue shares his imaginative, holiday-themed short film "The Great Candy Inquisition" this week In the NVIDIA Studio.
The post 3D Artist Edward McEvenue Animates Holiday Cheer This Week ‘In the NVIDIA Studio’ appeared first on NVIDIA Blog.
( 8
min )
At big conferences it is fun to get some human labels, because it is super high quality and high density. At neurips 2022 I wanted to study how humans use language to "fix" or "correct" an existing artifact. The current big models, such as stable diffusion, are generative from descriptions -- It is impossible to have an output image, and describe precisely how one might want to change it to improve it.
To quote from the blog post:
Imagine describing a task for your friend to perform. It is unlikely they’ll get it right on the first try. Often, additional communications are needed to modify and improve what is being done so far.
At Neurips 2022, I conducted a small study to get a sense of the following:
Q1: How valuable is the modification process?
Q2: Are the languages of modification and description different?
Check out the blog (5min read) for the full report: https://evanthebouncy.medium.com/the-language-of-modifications-17fac974c1ef
TL;DR: We find that modification is both valuable and distinct from descriptive language.
have a good one!
--evan
submitted by /u/evanthebouncy
[link] [comments]
( 66
min )
I would have thought that, in order to avoid any train/test contamination, we need to take the parameters from the training set PCA and use them to transform the test set, as oppose to just combining train and test and performing PCA at once. Does anyone have any idea how this is done in sklearn? I found this post which offers a solution, could anyone perhaps confirm that this is the correct way to do this? Cheers.
submitted by /u/Steve_Sizzou
[link] [comments]
( 65
min )
submitted by /u/carrotcypher
[link] [comments]
( 75
min )
https://nounsummaries.substack.com/p/meet-the-nouns-dao-ai-noc-lite-at
submitted by /u/Environmental_Fly691
[link] [comments]
( 46
min )
submitted by /u/LordPewPew777
[link] [comments]
( 44
min )
submitted by /u/GFWaltz
[link] [comments]
( 45
min )
submitted by /u/bendee983
[link] [comments]
( 46
min )
submitted by /u/softcrater
[link] [comments]
( 48
min )
submitted by /u/arnolds112
[link] [comments]
( 48
min )
submitted by /u/Techugoltd
[link] [comments]
( 49
min )
submitted by /u/prfitofthesngularity
[link] [comments]
( 45
min )
submitted by /u/Microsis
[link] [comments]
( 53
min )
submitted by /u/Prior_Appearance_44
[link] [comments]
( 47
min )
submitted by /u/Publicize
[link] [comments]
( 49
min )
Today we announce the general availability of Renate, an open-source Python library for automatic model retraining. The library provides continual learning algorithms able to incrementally train a neural network as more data becomes available. By open-sourcing Renate, we would like to create a venue where practitioners working on real-world machine learning systems and researchers interested […]
( 6
min )
Deploying high-quality, trained machine learning (ML) models to perform either batch or real-time inference is a critical piece of bringing value to customers. However, the ML experimentation process can be tedious—there are a lot of approaches requiring a significant amount of time to implement. That’s why pre-trained ML models like the ones provided in the PyTorch […]
( 10
min )
submitted by /u/Prior_Appearance_44
[link] [comments]
( 49
min )
Hey guys wanted to show you my app which offers a convenient frontend to use Whisper for transcriptions with Libretranslate to power automatic translations
Code is all open-source here: https://github.com/mayeaux/generate-subtitles
Also running an instance that you can use for free at https://freesubtitles.ai
submitted by /u/meddit_app
[link] [comments]
( 65
min )
submitted by /u/ydrive-ai
[link] [comments]
( 66
min )
Is this possible?
Train transformers on a quantum computer to model them for classical computing purposes such as running quantum cross validated regression locally?
https://discuss.huggingface.co/t/quantum-transformer/28044
submitted by /u/Thistleknot
[link] [comments]
( 61
min )
submitted by /u/Illustrious_Row_9971
[link] [comments]
( 62
min )
Hi everyone. Have you ever read a book written 100% by AI?
Now you got the chance. I started to work on my Sci-Fi novel using Artificial Intelligence. Together, we wrote an exciting book and made fantastic illustrations for it.
It's called Beyond The Horizon, it takes place in the year 2120. The main character, Jenna, a young astronaut is sent on a mission to explore a new planet.
Here is the link for the first chapter (pdf version): https://drive.google.com/file/d/1eaY3EOVW4LucsEfcNvugknxbkti9xaqD/view?usp=share_link
Let me know what you think!
Thanks,
Tom
submitted by /u/Character-Bison7282
[link] [comments]
( 48
min )
submitted by /u/LordPewPew777
[link] [comments]
( 45
min )
submitted by /u/Aerothermal
[link] [comments]
( 48
min )
submitted by /u/TheVellerShow
[link] [comments]
( 46
min )
Businesses collect a huge volume of data daily from various sources like ERMs, e-commerce platforms, supply chains, and many other internal and external sources. In making use of this data, we make use of data-driven decisions, organizations need business intelligence (BI). What is business intelligence? It refers to a mix of business analytics, data mining,… Read More »Application and Benefits of Business Intelligence in Manufacturing
The post Application and Benefits of Business Intelligence in Manufacturing appeared first on Data Science Central.
( 20
min )
submitted by /u/XiaolongWang
[link] [comments]
( 61
min )
submitted by /u/Luken58
[link] [comments]
( 65
min )
submitted by /u/chelsea_bear
[link] [comments]
( 67
min )
submitted by /u/RandomForests92
[link] [comments]
( 64
min )
submitted by /u/Fresh-Attorney4131
[link] [comments]
( 62
min )
Hi all,
We are training a distilBART model to summarize podcasts.
We want to be able to properly document the process, and how each decision affects the model.
So far that has included using rouge scores to determine the performance. If there are any other things you think we should do, please let me know.
But back to the question from the title:
For some reason, I just can not figure out how to control the training results. I want to see training- and validation loss after every epoch, but it keeps either putting it at some weird interval like here (code), or not at all like here (code).
Will appreciate any help and general criticism of what we are doing!
submitted by /u/emmytau
[link] [comments]
( 67
min )
submitted by /u/Acceptable_Raisin_55
[link] [comments]
( 68
min )
submitted by /u/AImSamy
[link] [comments]
( 64
min )
I'd like to use one of those engine's for Q/A
I see some nice tools out there like nshepherd and happytransformer, but neither of them use squad, but I do see some GPT-Neo squad models out there (for ex with GPT-NeoX)
https://www.forefront.ai/blog-posts/how-to-fine-tune-gpt-neox
submitted by /u/Thistleknot
[link] [comments]
( 64
min )
I have a AI model embodiment project. POC is pretty far along. I need help to accelerate it to the finish:
https://www.notion.so/Mind-Machine-Learning-2707060e25ec43978884b5e718c0c0d8
submitted by /u/bhartsb
[link] [comments]
( 66
min )
submitted by /u/cavemanpiggy
[link] [comments]
( 51
min )
submitted by /u/LordPewPew777
[link] [comments]
( 45
min )
submitted by /u/ytcoinartist
[link] [comments]
( 48
min )
submitted by /u/cheesemuncher1781
[link] [comments]
( 45
min )
submitted by /u/timothy-ventura
[link] [comments]
( 46
min )
submitted by /u/liquidocelotYT
[link] [comments]
( 45
min )
submitted by /u/QubaHQ
[link] [comments]
( 48
min )
I have a AI model embodiment project. I need help to accelerate it:
https://www.notion.so/Mind-Machine-Learning-2707060e25ec43978884b5e718c0c0d8
submitted by /u/bhartsb
[link] [comments]
( 53
min )
submitted by /u/gwern
[link] [comments]
( 51
min )
Hey guys! I was fascinated by the concept of the seed_rl when it first came out because I believe that it could accelerate the training speed in local single machine environment. But I found that the official repo is recently archived and no longer maintains.. So I’m looking for alternatives which I can use seed_rl type distributed RL. Ray(or Rllib) is the most using drl librarys, but it doesn’t seems like using the seed_rl style. Anyone can recommend distributed RL librarys for it, or good for research and for lot’s of code modification? Is RLLib worth to use in single local machine training despite those cons? Thank you!!
submitted by /u/jinPrelude
[link] [comments]
( 52
min )
Foundation models are large deep learning models trained on a vast quantity of data at scale. They can be further fine-tuned to perform a variety of downstream tasks and form the core backbone of enabling several AI applications. The most prominent category is large-language models (LLM), including auto-regressive models such as GPT variants trained to complete […]
( 10
min )
submitted by /u/palsh7
[link] [comments]
( 53
min )
Listen to the podcast episode with Nicklas Hansen from UC San Diego where we discuss adapting reinforcement learning policies during deployment, why algorithms don't drive research progress, and much more!
submitted by /u/thejashGI
[link] [comments]
( 53
min )
submitted by /u/Mk_Makanaki
[link] [comments]
( 57
min )
Hello everyone,
I wanted to share a new video I just released on YouTube here called "Adversarial Discriminative Domain Adaptation (ADDA) Paper Explained." It's a deep dive into the concepts and techniques of ADDA, which is a powerful method for adapting machine learning models to new domains. If you're interested in machine learning and domain adaptation, I think you'll really enjoy it.
Thanks for considering giving it a watch, and I hope you find it helpful! As always, feedback is extremely welcomed!
submitted by /u/Personal-Trainer-541
[link] [comments]
( 56
min )
submitted by /u/LordPewPew777
[link] [comments]
( 53
min )
submitted by /u/timothy-ventura
[link] [comments]
( 50
min )
submitted by /u/liquidocelotYT
[link] [comments]
( 51
min )
submitted by /u/AnonTopat
[link] [comments]
( 48
min )
submitted by /u/kenickh
[link] [comments]
( 50
min )
submitted by /u/PuppetHere
[link] [comments]
( 51
min )
submitted by /u/Mk_Makanaki
[link] [comments]
( 50
min )
Today, we’re happy to announce updates to our Amazon SageMaker Experiments capability of Amazon SageMaker that lets you organize, track, compare and evaluate machine learning (ML) experiments and model versions from any integrated development environment (IDE) using the SageMaker Python SDK or boto3, including local Jupyter Notebooks. Machine learning (ML) is an iterative process. When solving […]
( 11
min )
Proper estimation of predictive uncertainty is fundamental in applications that involve critical decisions. Uncertainty can be used to assess the reliability of model predictions, trigger human intervention, or decide whether a model can be safely deployed in the wild. We introduce Fortuna, an open-source library for uncertainty quantification. Fortuna provides calibration methods, such as conformal […]
( 7
min )
Amazon SageMaker Training Managed Warm Pools gives you the flexibility to opt in to reuse and hold on to the underlying infrastructure for a user-defined period of time. This is done while also maintaining the benefit of passing the undifferentiated heavy lifting of managing compute instances in to Amazon SageMaker Model Training. In this post, […]
( 10
min )
In an increasingly data-centric world, enterprises must focus on gathering both valuable physical information and generating the information that they need but can’t easily capture. Data access, regulation, and compliance are an increasing source of friction for innovation in analytics and artificial intelligence (AI). For highly regulated sectors such as Financial Services, Healthcare, Life Sciences, […]
( 11
min )
Developing and training successful machine learning (ML) fraud models requires access to large amounts of high-quality data. Sourcing this data is challenging because available datasets are sometimes not large enough or sufficiently unbiased to usefully train the ML model and may require significant cost and time. Regulation and privacy requirements further prevent data use or […]
( 8
min )
Listen to the podcast episode with Nicklas Hansen from UC San Diego where we discuss adapting reinforcement learning policies during deployment, why algorithms don't drive research progress, and much more!
submitted by /u/thejashGI
[link] [comments]
( 54
min )
submitted by /u/OpenDILab
[link] [comments]
( 52
min )
A comparative analysis of DL techniques ⚖️
( 21
min )
And how to use them effectively anyway
( 18
min )
There’s no denying that the Internet of Things (IoT) is here to stay. It has changed how we live, work and play, making our lives more…
( 13
min )
Hello everyone,
I wanted to share a new video I just released on YouTube here called "Adversarial Discriminative Domain Adaptation (ADDA) Paper Explained." It's a deep dive into the concepts and techniques of ADDA, which is a powerful method for adapting machine learning models to new domains. If you're interested in machine learning and domain adaptation, I think you'll really enjoy it.
Thanks for considering giving it a watch, and I hope you find it helpful! As always, feedback is extremely welcomed!
submitted by /u/Personal-Trainer-541
[link] [comments]
( 57
min )
submitted by /u/nickb
[link] [comments]
( 52
min )
Data for All by John K. Thompson covers data in the most holistic sense. For someone that is not involved in data science, defining the term data can be difficult. If data science is the study of data, what exactly is being studied? Thompson starts at the beginning when defining a term that has increased… Read More »Taking Control of Your Online Presence with Data for All
The post Taking Control of Your Online Presence with Data for All appeared first on Data Science Central.
( 19
min )
But the harm from a discriminatory AI system can be minimized if the advice it delivers is properly framed, an MIT team has shown.
( 9
min )
A national initiative in semiconductors provides a once-in-a-generation opportunity to energize manufacturing in the U.S. The CHIPS and Science Act includes an $13 billion R&D investment in the chip industry. Done right, it’s a recipe for bringing advanced manufacturing techniques to every industry and cultivating a highly skilled workforce. The semiconductor industry uses the most Read article >
The post Accelerated Computing, AI and Digital Twins: A Recipe for US Manufacturing Leadership appeared first on NVIDIA Blog.
( 6
min )
To make transportation safer, autonomous vehicles (AVs) must have processes and underlying systems that meet the highest standards. NVIDIA DRIVE OS is the operating system for in-vehicle accelerated computing powered by the NVIDIA DRIVE platform. DRIVE OS 5.2 is now functional safety-certified by TÜV SÜD, one of the most experienced and rigorous assessment bodies in Read article >
The post Safe Travels: NVIDIA DRIVE OS Receives Premier Safety Certification appeared first on NVIDIA Blog.
( 5
min )
Project repo: https://github.com/Linyou/taichi-ngp-renderer
Instant NGP is a novel view synthesis framework that reduces the model training for a single scene from hours to a few seconds.
This project is a CUDA-free instant NGP renderer implemented in Taichi. Supported by Taichi's built-in GUI system, the project supports real-time rendering and camera interaction while consuming less than 1GB of VRAM. It also contains a fully fused multilayer perceptron (MLP) enabled by the SharedArray feature.
The following are some pre-trained NeRF synthesis scenes:
https://preview.redd.it/kdlwzps1uy5a1.png?width=1236&format=png&auto=webp&s=f803745aa67f072bf04ebc178b5f0da8cabb3e77
submitted by /u/TaichiOfficial
[link] [comments]
( 66
min )
submitted by /u/Lakshmireddys
[link] [comments]
( 51
min )
submitted by /u/LordPewPew777
[link] [comments]
( 53
min )
https://youtu.be/0fEG0ClkIdo
submitted by /u/dondomigo
[link] [comments]
( 53
min )
submitted by /u/LordPewPew777
[link] [comments]
( 53
min )
submitted by /u/Prior_Appearance_44
[link] [comments]
( 51
min )
submitted by /u/estasfuera
[link] [comments]
( 55
min )
submitted by /u/liquidocelotYT
[link] [comments]
( 51
min )
submitted by /u/yudiz
[link] [comments]
( 53
min )
submitted by /u/Available_Tadpole829
[link] [comments]
( 51
min )
We are thrilled to announce the availability of the LightOn Lyra-fr foundation model for customers using Amazon SageMaker. LightOn is a leader in building foundation models specializing in European languages. Lyra-fr is a state-of-the-art French language model that can be used to build conversational AI, copywriting tools, text classifiers, semantic search, and more. You can […]
( 7
min )
While the weather outside may or may not be frightful this holiday season, new games on GeForce NOW each week make every GFN Thursday delightful. It doesn’t matter whether you’re on the naughty or nice list. With over 1,400 titles streaming from the cloud, there’s something for everyone to play across nearly all of their Read article >
The post Have a Holly, Jolly Holiday Streaming Top Titles on GeForce NOW appeared first on NVIDIA Blog.
( 6
min )
submitted by /u/timothy-ventura
[link] [comments]
( 50
min )
submitted by /u/AnonTopat
[link] [comments]
( 51
min )
submitted by /u/anselemnkoro
[link] [comments]
( 51
min )
submitted by /u/Repeat-or
[link] [comments]
( 51
min )
submitted by /u/LordPewPew777
[link] [comments]
( 47
min )
submitted by /u/PuppetHere
[link] [comments]
( 53
min )
submitted by /u/liquidocelotYT
[link] [comments]
( 51
min )
Programming is way more fun when you learn/work with someone. Help each other, ask questions, brainstorm, etc. There is just so much benefit to joining a community when you are in this field, especially when you cannot find the question you are looking for on stack overflow! 😉
This is the same thing with AI, which is why I created a Discord server two years ago. Where anyone learning or working in the field could come and share their projects, learn together, work together, and much more. The community is now close to 30'000 members, which is unbelievable!
Likewise, if you are just tinkering with ChatGPT, DALLE or MidJourney. Come join us and share your creations and the projects/companies/products you build (or find your next co-founder)!
So glad to see it growing and see everyone so active. We have partnered with Towards AI to provide qualitative events, live streams, a community newsletter, free courses following recent developments, job opportunities, and more!
p.s. we are always looking for contributors to our different projects (answer questions, moderation, help with open-source resources, podcast hosts...). Please reach out to me if interested! We also have some budget or cool merch we can send out :)
Come join us if you are in the AI field !
https://discord.gg/learnaitogether
submitted by /u/OnlyProggingForFun
[link] [comments]
( 53
min )
submitted by /u/Effective-Divide-828
[link] [comments]
( 54
min )
submitted by /u/Ziinxx
[link] [comments]
( 47
min )
submitted by /u/arnolds112
[link] [comments]
( 51
min )
submitted by /u/Lakshmireddys
[link] [comments]
( 47
min )
submitted by /u/jamesj
[link] [comments]
( 79
min )
submitted by /u/TXR_TUBE
[link] [comments]
( 53
min )
If you operate in a country with multiple official languages or across multiple regions, your audio files can contain different languages. Participants may be speaking entirely different languages or may switch between languages. Consider a customer service call to report a problem in an area with a substantial multi-lingual population. Although the conversation could begin […]
( 6
min )
Enterprises need to translate business-critical content such as marketing materials, instruction manuals, and product catalogs across multiple languages to communicate with a global audience of customers, partners, and stakeholders. Identifying the source language in each document before calling a translate job creates complexities and adds another step to your workflow. For example, an international product […]
( 5
min )
CAST Visiting Artist Andreas Refsgaard engages the MIT community in the ethics and play of creative coding.
( 9
min )
submitted by /u/Ziinxx
[link] [comments]
( 49
min )
You can read the release notes here: https://github.com/Farama-Foundation/Gymnasium/releases/tag/v0.27.0. You can upgrade from 0.26 without any changes unless you're doing something very uncommon; this is how releases will generally be going forward.
If you're unfamiliar with the maintenance of OpenAI's Gym package transitioning to Gymnasium, you can take a look at the full back story here: https://farama.org/Announcing-The-Farama-Foundation
submitted by /u/jkterry1
[link] [comments]
( 66
min )
We, the KerasCV team, just published a new tutorial that teaches you to train new embeddings for specific concepts in StableDiffusion via textual inversion! Let us know what you think!
https://keras.io/examples/generative/fine_tune_via_textual_inversion/
submitted by /u/puppet_pals
[link] [comments]
( 65
min )
submitted by /u/LordPewPew777
[link] [comments]
( 49
min )
submitted by /u/SupPandaHugger
[link] [comments]
( 49
min )
submitted by /u/trcytony
[link] [comments]
( 45
min )
submitted by /u/liquidocelotYT
[link] [comments]
( 53
min )
submitted by /u/PeteyCruiser123
[link] [comments]
( 47
min )
submitted by /u/kenickh
[link] [comments]
( 45
min )
submitted by /u/use_excalidraw
[link] [comments]
( 47
min )
submitted by /u/ai-lover
[link] [comments]
( 45
min )
submitted by /u/jkterry1
[link] [comments]
( 57
min )
Digital transformation is the process through which companies get their businesses embedded with advanced technologies for driving fundamental change. The benefits? Greater agility, increased efficiency, and unlocking new opportunities and values for employees shareholders, and customers. Global spending on digital transformation is expected to reach a valuation of 1.6 million by the end of the… Read More »Digital Transformation in Software Development – Why is the Change Imperative?
The post Digital Transformation in Software Development – Why is the Change Imperative? appeared first on Data Science Central.
( 20
min )
How much did it cost an identity thief in 2022 to buy some of your personally identifiable information (PII)? PrivacyAffairs.com reported that a thief could buy a compromised credit card number along with its three-digit security code for as little as $15. Similarly, a fraudster could buy a hacked Gmail account for $65 in 2022,… Read More »Thoughts on personal data protection trends and outlook 2022-23
The post Thoughts on personal data protection trends and outlook 2022-23 appeared first on Data Science Central.
( 21
min )
Web app development offers a number of advantages to businesses and enterprises, such as better user experience, higher scalability, and reduced costs. In this section, we have listed a few ways web app development can boost your retail company and other types of businesses. So, without further ado, let's begin!
The post How a Custom Web Application Can Help Grow Your Business appeared first on Data Science Central.
( 21
min )
It’s that time of the year again, and I have a prediction. We could see the rise of a low-code data scientist based on current low-code updates, increased demand for data science skills, and also the incorporation of generative tools like chatGPT into low-code tools. Let me expand more. The idea of low code itself… Read More »2023 prediction: Could we see the rise of the low code data scientist in 2023?
The post 2023 prediction: Could we see the rise of the low code data scientist in 2023? appeared first on Data Science Central.
( 19
min )
Manually inspecting data quality and cleaning data is a painful and time-consuming process that can take a huge chunk of a data scientist’s time on a project. According to a 2020 survey of data scientists conducted by Anaconda, data scientists spend approximately 66% of their time on data preparation and analysis tasks, including loading (19%), cleaning (26%), […]
( 7
min )
Organizations of all sizes are striving to grow their business, improve efficiency, and serve their customers better than ever before. Even though the future is uncertain, a data-driven, science-based approach can help anticipate what lies ahead to successfully navigate through a sea of choices. Every industry uses time series forecasting to address a variety of […]
( 7
min )
Chronomics is a tech-bio company that uses biomarkers—quantifiable information taken from the analysis of molecules—alongside technology to democratize the use of science and data to improve the lives of people. Their goal is to analyze biological samples and give actionable information to help you make decisions—about anything where knowing more about the unseen is important. […]
( 6
min )
After three years of uncertainty caused by the pandemic and its post-lockdown hangover, enterprises in 2023 — even with recession looming and uncertainty abounding — face the same imperatives as before: lead, innovate and problem solve. AI is becoming the common thread in accomplishing these goals. On average, 54% of enterprise AI projects made it Read article >
The post 2023 Predictions: AI That Bends Reality, Unwinds the Golden Screw and Self-Replicates appeared first on NVIDIA Blog.
( 13
min )
Banks require more than cash in the vault these days, they also need accelerated computing in the back room. “The boost we’re getting with GPUs not only significantly improved our performance at the same cost, it helped us redefine our business and sharpen our focus on customers,” said Marco Airoldi, who’s been head of financial Read article >
The post Ferrari of Finance: Accelerated Computing Drives Milan Bank Forward appeared first on NVIDIA Blog.
( 5
min )
The short film I Am Not Afraid! by creative studio Fabian&Fred embodies childlike wonder, curiosity and imagination this week In the NVIDIA Studio.
The post Face All Fears With Creative Studio Fabian&Fred This Week ‘In the NVIDIA Studio’ appeared first on NVIDIA Blog.
( 7
min )
submitted by /u/niicii77
[link] [comments]
( 50
min )
submitted by /u/EnvironmentalMap5
[link] [comments]
( 48
min )
submitted by /u/bendee983
[link] [comments]
( 71
min )
Hi there! Just want to share some tips on how to craft the right chatbot when everyone talks about ChatGPT. First of all, a custom chatbot company or any chatbot platform that does custom integration can integrate your chatbot with ChatGPT instead of Dialogflow. So yeah, you can have an outstanding customer service chatbot that can handle other topics. However, the right question is should you?
If you want a chatbot that does solve issues, not creates more, you must start with the proper requirements. Well-structured chatbot requirements lay the right foundation for your future chatbot development. ChatGPT is just one of the options of how you can use AI and automation and may be not the best depending on your budget and goals.
Your chatbot requirements should include these steps:
- …
( 51
min )
submitted by /u/letsgoooz
[link] [comments]
( 48
min )
The benefits of automation are improved efficiency, productivity, and quality while reducing costs. But there are also potential drawbacks, such as job loss and reduced flexibility. Therefore, when deciding whether or not to automate a task, it’s essential to weigh the pros and cons carefully. In this article, we want to consider how automation affects… Read More »Top 5 Industries That Will Be Transformed By Automation This Decade
The post Top 5 Industries That Will Be Transformed By Automation This Decade appeared first on Data Science Central.
( 22
min )
submitted by /u/ComputePls
[link] [comments]
( 56
min )
Amazon Lookout for Vision provides a machine learning (ML)-based anomaly detection service to identify normal images (i.e., images of objects without defects) vs anomalous images (i.e., images of objects with defects), types of anomalies (e.g., missing piece), and the location of these anomalies. Therefore, Lookout for Vision is popular among customers that look for automated […]
( 16
min )
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning (ML) to discover insights from text. Amazon Comprehend provides customized features, custom entity recognition, custom classification, and pre-trained APIs such as key phrase extraction, sentiment analysis, entity recognition, and more so you can easily integrate NLP into your applications. We recently added […]
( 8
min )
submitted by /u/mazib
[link] [comments]
( 56
min )
Details in the twitter thread:
https://twitter.com/martin_gorner/status/1599755684941557761
submitted by /u/mrx-ai
[link] [comments]
( 68
min )
To Try it Now:
If you want to get started straightaway, you trust my code and you're setup on CUDA (or have a virtual machine/Colab machine/etc), in the terminal, you can just run git clone https://github.com/tysam-code/hlb-CIFAR10 && cd hlb-CIFAR10 && python -m pip install -r requirements.txt && python main.py, and you should see things training straightaway. If you just want to browse the repo, feel free to head on over to https://github.com/tysam-code/hlb-CIFAR10.
About the Project:
Hi there,
I've been working in the modern instantiation of this field for just over half a decade or so, and have always sort of wanted a good testbench to develop neural network research on. Most of the codebases I've worked with over the years have been very ad-hoc or not very close to the bleeding edg…
( 64
min )
submitted by /u/Illustrious_Row_9971
[link] [comments]
( 62
min )
For more than six years, Microsoft Research has been honored to develop the Soundscape research project, which was designed to deliver information about a person’s location and points of interest and has guided individuals to desired places and in unfamiliar spaces using augmented-reality and three-dimensional audio. While not a traditional turn-by-turn navigation mobile app, the […]
The post Microsoft Soundscape – New Horizons with a Community-Driven Approach appeared first on Microsoft Research.
( 11
min )
Hi,
can it be implemented in the task-level scripts (i.e. ant.py, FrankaCabinet.py etc.) like this?
def pre_physics_step(self, actions): ... mask = [1,0,0,0,1] actions = actions * mask
This would prevent the computed actions to be applied, but would not "teach" the agent that the masked actions are invalid, right?
submitted by /u/Fun-Moose-3841
[link] [comments]
( 57
min )
Does anyone know of a document editor in which you can dictate text with OpenAI Whisper? Like similar to Google Docs but obviously with fewer features—and not for writing code, just normal text. I would like to use it!
I am aware of the HuggingFace Spaces (e.g. https://huggingface.co/spaces/openai/whisper) and Colab notebooks where you can use Whisper, but I don't know of any straight up writing tools.
submitted by /u/sidhire
[link] [comments]
( 64
min )
I've been trying to empirically assess what biases ChatGPT has about certain things when I give it minimal information about what I want. The approach that I've tried is to repeatedly make a request in a new thread, look at the distribution of key words, phrases or word/phrase categories across its responses, and compare these distributions across different requests. E.g. one set of requests that I've made have the structure:
Make up a realistic story about (a|an) person. Include their name and a description of their appearance.
I collected 10 responses for each of the following s: "intelligent", "unintelligent", "devious", "trustworthy", "peaceful", "violent", and did the same for 2 other request structures that request similar information, using the same set of <TRAI…
( 65
min )
submitted by /u/ComprehensiveIce5917
[link] [comments]
( 45
min )
submitted by /u/DropNationalism
[link] [comments]
( 44
min )
submitted by /u/qptbook
[link] [comments]
( 47
min )
submitted by /u/Lakshmireddys
[link] [comments]
( 49
min )
AI Weirdness: the strange side of machine learning
( 2
min )
https://www.youtube.com/watch?v=ck58bVZYKlw
submitted by /u/thosiris
[link] [comments]
( 42
min )
submitted by /u/LordPewPew777
[link] [comments]
( 42
min )
submitted by /u/kenickh
[link] [comments]
( 43
min )
submitted by /u/SuccessfulLoser-
[link] [comments]
( 46
min )
submitted by /u/ChuklzDaJ
[link] [comments]
( 47
min )
I used Dream! by Wombo
submitted by /u/Chase2k7
[link] [comments]
( 43
min )
submitted by /u/robertdeniro6969
[link] [comments]
( 42
min )
submitted by /u/softcrater
[link] [comments]
( 67
min )
submitted by /u/pasticciociccio
[link] [comments]
( 66
min )
submitted by /u/RandomForests92
[link] [comments]
( 67
min )
submitted by /u/jsonathan
[link] [comments]
( 72
min )
As more data move to the cloud and more organizations embrace cloud computing, it is clear that there is a corresponding need to improve cybersecurity strategies. One of the improvements being considered is security-as-code (SaC), which Google has been promoting actively. Many organizations have been supportive of this relatively nascent but promising cybersecurity approach. In… Read More »Security as Code: Creating a New Cybersecurity Paradigm Amid Growing Cloud Use
The post Security as Code: Creating a New Cybersecurity Paradigm Amid Growing Cloud Use appeared first on Data Science Central.
( 21
min )
submitted by /u/pasticciociccio
[link] [comments]
( 44
min )
submitted by /u/Personal-Trainer-541
[link] [comments]
( 46
min )
Here is a podcast episode with Jack Parker-Holder from DeepMind where we discuss open-endedness, evolving agents and environments, offline learning with world models, and much more!
submitted by /u/thejashGI
[link] [comments]
( 54
min )
submitted by /u/robotphilanthropist
[link] [comments]
( 55
min )
submitted by /u/pasticciociccio
[link] [comments]
( 42
min )
Here is a podcast episode with Jack Parker-Holder from DeepMind where we discuss open-endedness, evolving agents and environments, offline learning with world models, and much more!
submitted by /u/thejashGI
[link] [comments]
( 42
min )
submitted by /u/nalr00n
[link] [comments]
( 48
min )
submitted by /u/Kipyegonn
[link] [comments]
( 43
min )
submitted by /u/PuppetHere
[link] [comments]
( 44
min )
submitted by /u/SudoSharma
[link] [comments]
( 46
min )
submitted by /u/Personal-Trainer-541
[link] [comments]
( 44
min )
submitted by /u/walt74
[link] [comments]
( 45
min )
submitted by /u/wazserd
[link] [comments]
( 61
min )
Here is a podcast episode with Jack Parker-Holder from DeepMind where we discuss open-endedness, evolving agents and environments, offline learning with world models, and much more!
submitted by /u/thejashGI
[link] [comments]
( 70
min )
New HuggingFace blog post on RLHF: https://huggingface.co/blog/rlhf
Motivated by ChatGPT and the lack of conceptually focused resources on the topic.
submitted by /u/robotphilanthropist
[link] [comments]
( 66
min )
Hey folks,
We interviewed Petar Veličković at NeurIPS last week here -- https://www.youtube.com/watch?v=1lkdWduuN14
Categories (Cats for AI) [00:00:00]
Algorithmic Reasoning [00:14:44]
Extrapolation [00:19:09]
Ishan Misra Skit [00:27:50]
Graphs (Expander Graph Propagation) [00:29:18]
References
MLST#60 Geometric Deep Learning Blueprint (Special Edition)
https://www.youtube.com/watch?v=bIZB1hIJ4u8
Categories for AI
https://cats.for.ai/
Organised by:
Andrew Dudzik - DeepMind
Bruno Gavranović - University of Strathclyde
João Guilherme Araújo - Cohere / Universidade de São Paulo
Petar Veličković - DeepMind / University of Cambridge
Pim de Haan - University of Amsterdam / Qualcomm AI Research
[Petar Veličković] Graph Attention Networks
https://arxiv.org/abs/1…
( 71
min )
submitted by /u/Thaatonelemon
[link] [comments]
( 46
min )
submitted by /u/remonberkersphoto
[link] [comments]
( 43
min )
submitted by /u/defensiveFruit
[link] [comments]
( 43
min )
submitted by /u/protienbudspromax
[link] [comments]
( 50
min )
submitted by /u/RadicalDreamah
[link] [comments]
( 43
min )
https://www.youtube.com/shorts/5ZWub9UEJiE
submitted by /u/Stardev0
[link] [comments]
( 43
min )
submitted by /u/cryfi
[link] [comments]
( 47
min )
submitted by /u/much_successes
[link] [comments]
( 43
min )
submitted by /u/Determinant
[link] [comments]
( 43
min )
submitted by /u/vadhavaniyafaijan
[link] [comments]
( 43
min )
submitted by /u/theindianappguy
[link] [comments]
( 44
min )
I have a big data set that I would like to train on, so my thought is that I am going to do distributed training , but I am currently setting up MultiWorkerMirroredStrategy on tensorflow and i find it hard to use even with https://github.com/tensorflow/ecosystem/tree/master/spark/spark-tensorflow-distributor
https://www.tensorflow.org/api_docs/python/tf/distribute/experimental/MultiWorkerMirroredStrategy
So I was wondering if there are other recommended way of doing NN training if you have big dataset?
submitted by /u/IdeaEnough443
[link] [comments]
( 64
min )
https://languagetool.org/ is an open-source language model.
Do you know what approach did they use to implement the language model?
I am curious because I have the desire to bring the same functionality to my native language and would like to get some know-how.
submitted by /u/Smart-Veterinarian11
[link] [comments]
( 63
min )
TLDR : People uses dreambooth or textual inversion to fine-tune their own stable diffusion models. There is a better way: Use LoRA to fine-tune twice as faster, with end result being less than 4MB. Dedicated CLI, package, and pre-trained models are available at https://github.com/cloneofsimo/lora
fine tuned LoRA on pixar footages. Inspired by modern-disney-diffusion
fine tuned LoRA on pop-art style
Thanks to the generous work of Stability AI and Huggingface, so many people have enjoyed fine-tuning stable diffusion models to fit their needs and generate higher fidelity images. However, the fine-tuning process is very slow, and it is not easy to find a good balance between the number of steps and the quality of the results.
Also, the final results (fully fined-tuned model) is ra…
( 67
min )
Hi guys, I have recently developed an AI snake game with a more sophisticated reward function to win the game. The snake is rewarded not only for eating, but also for simply staying alive, which gets harder and harder as the snake gets longer.
https://youtu.be/cm3V1y_osbM
Please let me know what you think? Is there a simpler way to beat the game with reinforcement learning?
Here is the last iteration before the Snake wins the game. Longer version can be found on Youtube: https://youtu.be/cm3V1y_osbM
submitted by /u/Glittering-Row-563
[link] [comments]
( 58
min )
submitted by /u/sxwq47
[link] [comments]
( 45
min )
Data preparation is a principal component of machine learning (ML) pipelines. In fact, it is estimated that data professionals spend about 80 percent of their time on data preparation. In this intensive competitive market, teams want to analyze data and extract more meaningful insights quickly. Customers are adopting more efficient and visual ways to build […]
( 10
min )
Across all industries, machine learning (ML) models are getting deeper, workflows are getting more complex, and workloads are operating at larger scales. Significant effort and resources are put into making these models more accurate since this investment directly results in better products and experiences. On the other hand, making these models run efficiently in production […]
( 7
min )
In this post, we show how to train, deploy, and predict natural disaster damage with Amazon SageMaker with geospatial capabilities. We use the new SageMaker geospatial capabilities to generate new inference data to test the model. Many government and humanitarian organizations need quick and accurate situational awareness when a disaster strikes. Knowing the severity, cause, […]
( 8
min )
Amazon SageMaker Autopilot automatically builds, trains, and tunes the best machine learning (ML) models based on your data, while allowing you to maintain full control and visibility. Autopilot can also deploy trained models to real-time inference endpoints automatically. If you have workloads with spiky or unpredictable traffic patterns that can tolerate cold starts, then deploying […]
( 8
min )
Microsoft is home to a diverse team of researchers focused on supporting a healthy global society, including finding ways technology can address human rights problems affecting the most vulnerable populations around the world. With a multi-disciplinary background in human-computer interaction, data science, and the social sciences, the research team partners with community, governmental, and nongovernmental organizations to create open technologies that enable scalable responses to such challenges.
The post IOM and Microsoft release first-ever differentially private synthetic dataset to counter human trafficking appeared first on Microsoft Research.
( 13
min )
It’s a wild GFN Thursday — The Witcher 3: Wild Hunt next-gen update will stream on GeForce NOW day and date, starting next week. Today, members can stream new seasons of Fortnite and Genshin Impact, alongside eight new games joining the library. In addition, the newest GeForce NOW app is rolling out this week with Read article >
The post The Hunt Is On: ‘The Witcher 3: Wild Hunt’ Next-Gen Update Coming to GeForce NOW appeared first on NVIDIA Blog.
( 6
min )
As the autonomous vehicle industry enters the next year, it will start navigating into even greater technology frontiers. Next-generation vehicles won’t just be defined by autonomous driving capabilities. Everything from the design and production process to the in-vehicle experience is entering a new era of digitization, efficiency, safety and intelligence. These trends arrive after a Read article >
The post ‘23 and AV: Transportation Industry to Drive Into Metaverse, Cloud Technologies appeared first on NVIDIA Blog.
( 6
min )
submitted by /u/DominoChessMaster
[link] [comments]
( 46
min )
submitted by /u/Number_5_alive
[link] [comments]
( 44
min )
submitted by /u/skiwi2
[link] [comments]
( 43
min )
submitted by /u/UncleGutenberg
[link] [comments]
( 46
min )
submitted by /u/timothy-ventura
[link] [comments]
( 46
min )
submitted by /u/PuppetHere
[link] [comments]
( 44
min )
submitted by /u/techn0_cratic
[link] [comments]
( 46
min )
submitted by /u/eddytony96
[link] [comments]
( 50
min )
submitted by /u/tim_toum
[link] [comments]
( 53
min )
submitted by /u/Kami199199
[link] [comments]
( 43
min )
submitted by /u/MaadHater
[link] [comments]
( 43
min )
submitted by /u/gwern
[link] [comments]
( 59
min )
PROOF: https://i.redd.it/8skvttie6j4a1.png
We’re part of the research team behind CICERO, Meta AI’s latest research in cooperative AI. CICERO is the first AI agent to achieve human-level performance in the game Diplomacy. Diplomacy is a complex strategy game involving both cooperation and competition that emphasizes natural language negotiation between seven players. Over the course of 40 two-hour games with 82 human players, CICERO achieved more than double the average score of other players, ranked in the top 10% of players who played more than one game, and placed 2nd out of 19 participants who played at least 5 games. Here are some highlights from our recent announcement:
NLP x RL/Planning: CICERO combines techniques in NLP and RL/planning, by coupling a controllable dialogue modul…
( 63
min )
In previous blog post, we described an end-to-end identity verification solution in a single AWS Region. The solution uses the Amazon Rekognition APIs DetectFaces for face detection and CompareFaces for face comparison. We think of those APIs as stateless APIs because they don’t depend on an Amazon Rekognition face collection. They’re also idempotent, meaning repeated […]
( 7
min )
The success of any machine learning (ML) pipeline depends not just on the quality of model used, but also the ability to train and iterate upon this model. One of the key ways to improve an ML model is by choosing better tunable parameters, known as hyperparameters. This is known as hyperparameter optimization (HPO). However, […]
( 8
min )
Time to tackle one of the most challenging tasks for aspiring movie makers — creating aesthetically pleasing visual effects — courtesy of visual effects artist and filmmaker Jay Lippman this week In the NVIDIA Studio.
The post Visual Effects Artist Jay Lippman Takes Viewers Behind the Camera This Week ‘In the NVIDIA Studio’ appeared first on NVIDIA Blog.
( 8
min )
From rapidly fluctuating demand to staffing shortages and supply chain complexity, enterprises have navigated numerous challenges the past few years. Many companies seeking strong starts to 2023 are planning to use AI and accelerated computing to drive growth while saving costs. To support these early adopters — as well as those just beginning their AI Read article >
The post License for the AI Autobahn: NVIDIA AI Enterprise 3.0 Introduces New Tools to Speed Success appeared first on NVIDIA Blog.
( 8
min )
Deutsche Bank Wednesday announced a partnership with NVIDIA to accelerate the use of AI and machine learning in the financial services sector. The announcement follows months of testing to explore use cases that could support the bank’s strategic ambitions to 2025 and beyond. “Accelerated computing and AI are at a tipping point, and we’re bringing Read article >
The post Banking on AI: Deutsche Bank, NVIDIA to Accelerate Adoption of AI for Financial Services appeared first on NVIDIA Blog.
( 5
min )
Training, testing and validating autonomous vehicles requires a continuous pipeline — or data factory — to introduce new scenarios and refine deep neural networks. A key component of this process is simulation. AV developers can test a virtually limitless number of scenarios, repeatably and at scale, with high-fidelity, physically based simulation. And like much of Read article >
The post Hittin’ the Sim: NVIDIA’s Matt Cragun on Conditioning Autonomous Vehicles in Simulation appeared first on NVIDIA Blog.
( 5
min )
Many UX designers consider several value of qualitative research in a comparative user research study design directions and research methods for their designs. But in a world where user expectations are rising, competition is high, and design trends change frequently. It’s important to stay ahead of the curve. A lot of the time designers choose… Read More »The value of qualitative research in a comparative user research study
The post The value of qualitative research in a comparative user research study appeared first on Data Science Central.
( 26
min )
submitted by /u/Holos620
[link] [comments]
( 44
min )
submitted by /u/SpaceNigiri
[link] [comments]
( 49
min )
submitted by /u/LorestForest
[link] [comments]
( 40
min )
submitted by /u/endless
[link] [comments]
( 47
min )
submitted by /u/qptbook
[link] [comments]
( 45
min )
submitted by /u/kenickh
[link] [comments]
( 44
min )
submitted by /u/gwern
[link] [comments]
( 52
min )
Here in the Pacific Northwest, winter days are short and chilly, if not as cold as it is further inland. A day ago, the fir trees were covered with snow, but a brief warm respite before the next incoming storm system has melted much of it.
The post DSC Weekly 6 December 2022 – Prompting Winter appeared first on Data Science Central.
( 24
min )
Blockchains are intriguing to investors as it is a new technique with the potential to drastically cut transaction costs. Blockchains allow for secure, direct transactions between an unknown number of users who may or may not trust one another. With all the progress that has been made since blockchain’s inception, it can be easy to… Read More »What will be the Top Blockchain Implementation Challenges In 2023?
The post What will be the Top Blockchain Implementation Challenges In 2023? appeared first on Data Science Central.
( 20
min )
Blockchain is one of the hot words this year, but it is also one of the least understood. Blockchain is a robust technical innovation that can do more for you than the cryptocurrency that often uses it. Understanding the benefits of blockchain technology is immensely helpful in determining whether it will benefit your business. From… Read More »How Blockchain Technology Revolutionizes Businesses to Boost Revenue
The post How Blockchain Technology Revolutionizes Businesses to Boost Revenue appeared first on Data Science Central.
( 21
min )
The collapse of Sam Bankman-Fried’s crypto empire, FTX, has been stunning. Just a few weeks ago, the firm was one of the top players in the industry. Bankman-Fried was being compared to JP Morgan and Warren Buffett. He had the financial backing of some of the world’s top firms, like Sequoia and BlackRock. He ranked… Read More »FTX Implosion Highlights the Importance of Conversational AI
The post FTX Implosion Highlights the Importance of Conversational AI appeared first on Data Science Central.
( 20
min )
Sponsored Post Attend the Data Science Symposium 2022 on November 8 The Center for Business Analytics at the University of Cincinnati will present its annual Data Science Symposium 2022 on November 8. This all day in-person event will have three featured speakers and two tech talk tracks with four concurrent presentations in each track. The […]
The post Attend the Data Science Symposium 2022, November 8 in Cincinnati appeared first on Machine Learning Mastery.
( 10
min )